This version of the glossary is substantially changed from the original. Some terms have been omitted, many have been modified in light of practical experiences and the evolution in concepts, and new terms have been added. The list of terms is not intended to be either exhaustive or exclusive, and d...raws upon the wide range of disciplines in which health promotion has its roots. Wherever possible, definitions are sourced or derived from existing, publicly accessible WHO documents. Specific sources are referenced, and where possible a web link is also provided to facilitate access to source documents. Hyperlinks were correct at the time of publication but are subject 2 Health Promotion Glossary of Terms 2021 to inevitable change. In some examples the definitions have been adapted to reflect the application of a term to the current health promotion context. Where relevant, this focus is acknowledged in individual definitions.
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DG Echo Funding Guidelines
GGGI Technical Guideline No. 2
Working Document, September 2017
For health care providers.
Sub-Saharan Africa has the highest maternal mortality in the world. According to estimates by the United Nations Maternal Mortality Estimation Inter-Agency Group (UN MMEIG)1 in September 2017, while the African Region had recorded a significant decline in maternal mortali...ty rate (MMR) of 37.8% between 2000 and 2017, 66% of the 295 000 maternal deaths reported globally occurred in sub-Saharan Africa. The African Region is also noted to have an extremely high MMR, estimated at 542 per 100000 livebirths, with an average annual rate of reduction of 2.9%.
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This document provides a generic model that can be used for risk assessment of exposure to insecticide products applied as indoor residual sprays. It aims to harmonize the risk assessment of such insecticides for public health use in order to generate comparable data for their registering and labell...ing by national regulatory authorities. The assessment considers both adults and children (all age groups) as well as people in the following specific categories:
- those preparing the spray;
- those applying the spray;
- residents living in the treated houses;
- residents who participate in preparing and applying insecticides.
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The ongoing COVID-19 pandemic has shown that public financial management (PFM) should be an integral part of the response. Effectiveness in financing the health response depends not only on the level of funding but also on the way public funds are allocated and spent, this is determined by the PFM r...ules, and how money flows to health service providers. So far, early assessments have shown that PFM systems ranged from being a fundamental enabler to acting as a roadblock in the COVID-19 health response. While service delivery mechanisms have been extensively documented throughout the pandemic, the underlying PFM mechanisms of the response also merit attention. To highlight the importance of PFM in health emergency contexts, this rapid review analyses various country PFM experiences and identifies early lessons emerging from the financing of the health response to COVID-19. The assessment is done by stages of the budget cycle: budget allocation, budget execution, and budget oversight. Identifying lessons from the varying PFM modalities used to finance the response to COVID-19 is fundamental both for health policy-makers and for finance authorities to prepare for future health emergencies.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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n the countries of the Region of the Americas, there are different forms of organization of health services at the first level of care. Some countries include certain laboratory, dental and diagnostic imaging practices in the first level of care, while other countries centralize these practices in t...he second and third levels of care. Consequently, so that the List of Priority Medical Devices (LPMD) could be adapted to these different forms of organization of health systems in the region of the Americas, modular lists were developed that complement the main list. In this way, to use the LPMD, only those modules that are planned to be offered in a first-level care center are selected, and it is those lists that are analyzed.
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